Zainab Gull Khana working journal
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exhibit

Aegis Chain

AI-assisted penetration testing, made accessible

ReactNext.jsTypeScriptMongoDBAI IntegrationREST APIs

Focus

Vulnerability triage

Output

Remediation guidance

Scope

Centralized pentesting

Aegis Chain exists because penetration testing is usually locked behind specialist consultancies and expensive tooling. The platform centralizes scanning, project management, vulnerability history, and audit logs into one workspace, then uses AI to help interpret and prioritize what the scans find.

The vision is democratization: a small team should be able to run a credible security review of their own product without hiring an outside firm for every release cycle. The AI layer doesn't replace judgment — it organizes findings by severity and exploitability, and drafts remediation guidance a developer can actually act on.

Architecturally, the frontend is React and Next.js, the API layer follows a FastAPI-inspired resource design adapted into this project's TypeScript backend, and MongoDB stores scans, findings, and audit trails. Authentication and reporting were built to be trustworthy enough for a team to rely on for real decisions.

Final Year Project — Lead Developer · 2025 — 2026Ask about this project →